Aug 4-6, 2022
Durham, NC
Join Our Interactive, Hands-On Workshop Featuring the University of Alabama at Birmingham and Johns Hopkins Medicine
Workshop Presenters:
Dan E. Berkowitz, M.D., MBBCh
Chair of Anesthesiology and Perioperative Medicine
University of Alabama at Birmingham
James Fackler, MD
Professor, Anesthesiology and Critical Care Medicine and Pediatrics
Johns Hopkins University School of Medicine
Ryan C. Godwin, PhD
Data Scientist, Anesthesiology & Radiology
The University of Alabama at Birmingham
Ryan L Melvin, PhD
Principal Data Scientist
Department of Anesthesiology and Perioperative Medicine
The University of Alabama at Birmingham
Kathryn Rosenblatt, MD, MHS
Assistant Professor of Anesthesiology & Critical Care Medicine
Johns Hopkins University School of Medicine
August 4, 2022
2:00 - 4:00PM
Operationalizing Perioperative AI: A Pathway for Clinical Validation of Well-Studied Algorithms
AI-based tools built from comprehensive physiologic waveform datasets are key to delivering 'patient-centric' care at scale.
Join us to see how institutions like UAB and Johns Hopkins access and leverage real-time waveform data and integrate it with other time series data to close the loop from development to deployment of real-time patient centric AI.
See how complete datasets improve the accuracy of model fitting. Get the opportunity to work with sample models and data such as cerebral autoregulation. Meet directly with world-renowned researchers and physicians to discuss their work through an interactive workshop featuring 5 hands-on stations:
- Unlocking Data
- Defining the Clinical Problem
- Running Calculations
- Operationalizing the Research
- Future Work and Collaboration
Stop by the MIC Booth to see a demo of Sickbay™, the platform powering this research, multimodal monitoring, and development and deployment of AI.
See how providers and researchers use Sickbay™ for research and clinical care:
Stephanie Cha, MD, Assistant Professor Anesthesiology and Critical Care
Remote monitoring of ECMO patients
Dr. Bergmann, MD, MHS, T32 Clinical Research Fellow and Pediatric Critical Care Medicine
The importance of high frequency data vs. EMR data
Craig Rusin, PhD, Associate Professor at Baylor College of Medicine, Texas Children's Hospital, and Associate Professor at Rice University
Predicting cardiorespiratory deterioration 1-2 hours in advance in HLHS patients
Danielle Rios, MD, MS, Clinical Associate Professor of Pediatrics-Neonatology
Cardiopulmonary Conference: Capturing cardiovascular monitoring data for improved research & care
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See a full list of other research papers and publications powered by Sickbay
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See how Sickbay apps accelerate research and algorithm development
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Can't Attend? Contact us today for a Demo
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Stephanie Cha, MD, Assistant Professor Anesthesiology and Critical Care
Remote monitoring of ECMO patients
Dr. Bergmann, MD, MHS, T32 Clinical Research Fellow and Pediatric Critical Care Medicine
The importance of high frequency data vs. EMR data
Craig Rusin, PhD, Associate Professor at Baylor College of Medicine, Texas Children's Hospital, and Associate Professor at Rice University
Predicting cardiorespiratory deterioration 1-2 hours in advance in HLHS patients
Danielle Rios, MD, MS, Clinical Associate Professor of Pediatrics-Neonatology
Cardiopulmonary Conference: Capturing cardiovascular monitoring data for improved research & care
Need More Info?
See a full list of other research papers and publications powered by Sickbay
See how Sickbay apps accelerate research and algorithm development
Can't Attend? Contact us today for a Demo